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Lei M, Tao MQ, Wu YJ, Xu L, Yang Z, Li Y, Olatunji OJ, Wang XW, Zuo J. Metabolic Enzyme Triosephosphate Isomerase 1 and Nicotinamide Phosphoribosyltransferase, Two Independent Inflammatory Indicators in Rheumatoid Arthritis: Evidences From Collagen-Induced Arthritis and Clinical Samples. Front Immunol 2022; 12:795626. [PMID: 35111160 PMCID: PMC8801790 DOI: 10.3389/fimmu.2021.795626] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 12/27/2021] [Indexed: 01/13/2023] Open
Abstract
Metabolic intervention is a novel anti-rheumatic approach. The glycolytic regulator NAMPT has been identified as a therapeutic target of rheumatoid arthritis (RA), while other metabolic regulators coordinating NAMPT to perpetuate inflammation are yet to be investigated. We continuously monitored and validated expression changes of Nampt and inflammatory indicators in peripheral while blood cells from rats with collagen-induced arthritis (CIA). Gene transcriptional profiles of Nampt+ and Nampt++ samples from identical CIA rats were compared by RNA-sequencing. Observed gene expression changes were validated in another batch of CIA rats, and typical metabolic regulators with persistent changes during inflammatory courses were further investigated in human subjects. According to expression differences of identified genes, RA patients were assigned into different subsets. Clinical manifestation and cytokine profiles among them were compared afterwards. Nampt overexpression typically occurred in CIA rats during early stages, when iNos and Il-1β started to be up-regulated. Among differentially expressed genes between Nampt+ and Nampt++ CIA rat samples, changes of Tpi1, the only glycolytic enzyme identified were sustained in the aftermath of acute inflammation. Similar to NAMPT, TPI1 expression in RA patients was higher than general population, which was synchronized with increase in RFn as well as inflammatory monocytes-related cytokines like Eotaxin. Meanwhile, RANTES levels were relatively low when NAMPT and TPI1 were overexpressed. Reciprocal interactions between TPI1 and HIF-1α were observed. HIF-1α promoted TPI1 expression, while TPI1 co-localized with HIF-1α in nucleus of inflammatory monocytes. In short, although NAMPT and TPI1 dominate different stages of CIA, they similarly provoke monocyte-mediated inflammation.
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Affiliation(s)
- Ming Lei
- Xin’an Medicine Research Center, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, China
| | - Meng-Qing Tao
- Xin’an Medicine Research Center, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, China
- Research Center of Integration of Traditional Chinese and Western Medicine, Wannan Medical College, Wuhu, China
| | - Yi-Jin Wu
- Xin’an Medicine Research Center, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, China
- Research Center of Integration of Traditional Chinese and Western Medicine, Wannan Medical College, Wuhu, China
| | - Liang Xu
- Department of Rheumatology, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, China
| | - Zhe Yang
- Department of Traditional Chinese Medicine, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, China
| | - Yan Li
- Xin’an Medicine Research Center, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, China
- Department of Traditional Chinese Medicine, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, China
| | | | - Xiao-Wan Wang
- Department of Rheumatology, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, China
| | - Jian Zuo
- Xin’an Medicine Research Center, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, China
- Research Center of Integration of Traditional Chinese and Western Medicine, Wannan Medical College, Wuhu, China
- Key Laboratory of Non-coding RNA Transformation Research of Anhui Higher Education Institution, Wannan Medical College, Wuhu, China
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Wang R, Li DF, Hu YF, Liao Q, Jiang TT, Olatunji OJ, Yang K, Zuo J. Qing-Luo-Yin Alleviated Monocytes/Macrophages-Mediated Inflammation in Rats with Adjuvant-Induced Arthritis by Disrupting Their Interaction with (Pre)-Adipocytes Through PPAR-γ Signaling. DRUG DESIGN DEVELOPMENT AND THERAPY 2021; 15:3105-3118. [PMID: 34295151 PMCID: PMC8291661 DOI: 10.2147/dddt.s320599] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 07/09/2021] [Indexed: 12/29/2022]
Abstract
Background The Chinese herbal formula Qing-Luo-Yin (QLY) has been successfully used in rheumatoid arthritis treatment for decades. It exhibits notable immune and metabolism regulatory properties. Thereby, we investigated its effects on the interplay between (pre)-adipocytes and monocytes/macrophages under adjuvant-induced arthritis (AIA) circumstances. Methods Fat reservoir and histological characteristics of white fat tissues (WAT) in AIA rats receiving QLY treatment were examined upon sacrifice. Metabolic parameters, clinical indicators, and oxidative stress levels were determined using corresponding kits, while mRNA/protein expression was investigated by PCR and immunoblotting methods. M1 macrophage distribution in WAT was assessed by flow cytometry. The effects of QLY on (pre)-adipocytes were further validated by experiments in vitro. Results Compared with normal healthy controls, body weight and circulating triglyceride were declined in AIA rats, but serological levels of free fatty acids and low-density lipoprotein cholesterol were increased. mRNA IL-1β and iNOS expression in white blood cells and rheumatoid factor, C-reactive protein, anti-cyclic citrullinated peptide antibody, MCP-1 and IL-1β production in serum/WAT were up-regulated. Obvious CD86+CD11b+ macrophages were enriched in WAT. Meanwhile, expression of PPAR-γ and SIRT1 and secretion of adiponectin and leptin in these AIA rats were impaired. QLY restored all these pathological changes. Of note, it significantly stimulated PPAR-γ expression in the treated AIA rats. Accordingly, QLY-containing serum promoted SCD-1, PPAR-γ, and SIRT1 expression in pre-adipocytes cultured in vitro. AIA rats-derived peripheral blood mononuclear cells suppressed PPAR-γ and SCD-1 expression in co-cultured pre-adipocytes, but serum from AIA rats receiving QLY treatment did not exhibit this potential. The changes on PPAR-γ expression eventually resulted in varied adipocyte differentiation statuses. PPAR-γ selective inhibitor T0070907 abrogated QLY-induced MCP-1 production decline in LPS-primed pre-adipocytes and reduced adiponectin secretion. Conclusion QLY was potent in promoting PPAR-γ expression and consequently disrupted inflammatory feedback in WAT by altering monocytes/macrophages polarization and adipocytes differentiation.
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Affiliation(s)
- Rui Wang
- Department of Traditional Chinese Medicine, the First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, 241000, People's Republic of China.,Research Center of Integration of Traditional Chinese and Western Medicine, Wannan Medical College, Wuhu, 241000, People's Republic of China
| | - Dan-Feng Li
- Department of Traditional Chinese Medicine, the First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, 241000, People's Republic of China.,Research Center of Integration of Traditional Chinese and Western Medicine, Wannan Medical College, Wuhu, 241000, People's Republic of China
| | - Yi-Fang Hu
- Department of Traditional Chinese Medicine, the First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, 241000, People's Republic of China.,Research Center of Integration of Traditional Chinese and Western Medicine, Wannan Medical College, Wuhu, 241000, People's Republic of China
| | - Qiang Liao
- Department of Traditional Chinese Medicine, the First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, 241000, People's Republic of China.,Research Center of Integration of Traditional Chinese and Western Medicine, Wannan Medical College, Wuhu, 241000, People's Republic of China
| | - Tian-Tian Jiang
- Department of Traditional Chinese Medicine, the First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, 241000, People's Republic of China.,Research Center of Integration of Traditional Chinese and Western Medicine, Wannan Medical College, Wuhu, 241000, People's Republic of China
| | - Opeyemi Joshua Olatunji
- Faculty of Traditional Thai Medicine, Prince of Songkla University, Hat Yai, 90112, Thailand
| | - Kui Yang
- Research Center of Integration of Traditional Chinese and Western Medicine, Wannan Medical College, Wuhu, 241000, People's Republic of China.,Department of Pharmacy, the First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, 241000, People's Republic of China
| | - Jian Zuo
- Department of Traditional Chinese Medicine, the First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, 241000, People's Republic of China.,Research Center of Integration of Traditional Chinese and Western Medicine, Wannan Medical College, Wuhu, 241000, People's Republic of China.,Key Laboratory of Non-coding RNA Transformation Research of Anhui Higher Education Institution, Wannan Medical College, Wuhu, 241000, People's Republic of China
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Ang L, Lee HW, Kim A, Choi JY, Lee MS. Network Analysis of Herbs Recommended for the Treatment of COVID-19. Infect Drug Resist 2021; 14:1833-1844. [PMID: 34040397 PMCID: PMC8140903 DOI: 10.2147/idr.s305176] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 04/24/2021] [Indexed: 12/13/2022] Open
Abstract
PURPOSE In this study, we aimed to identify the pattern and combination of herbs used in the formulae recommended for treating different stages of COVID-19 using a network analysis approach. METHODS The herbal formulae recommended by official guidelines for the treatment of COVID-19 are included in the present analysis. To describe the tendency of herbs to form a "herb pair", we computed the mutual information (MI) value and distance-based mutual information model (DMIM) score. We also performed modularity, degree, betweenness, and closeness centrality analysis. Network analyses were performed and visualized for each disease stage. RESULTS A total of 142 herbal formulae comprising 416 herbs were analyzed. All possible herbal pairs were examined, and the top frequently used herbal pairs were identified for each disease stage. The herb Glycyrrhizae radix et rhizoma is only identified in one herb pair, even though this herb is identified as one of the herbs with high frequency of use for every disease stage. This suggests that the DMIM score could be used to identify the optimal combination rule of herbal formulae by achieving a balance among the herbs' frequency and relative distance in herbal formulae. CONCLUSION Our results presented the prescription patterns and herbal combinations of the herbal formulae recommended for the treatment of COVID-19. This study may provide new insights and ideas for clinical research in the future.
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Affiliation(s)
- Lin Ang
- Clinical Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Korea
- Korean Convergence Medicine, University of Science and Technology, Daejeon, Korea
| | - Hye Won Lee
- Herbal Medicine Research Division, Korea Institute of Oriental Medicine, Daejeon, Korea
| | - Anna Kim
- Future Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Korea
| | - Jun-Yong Choi
- Pulmonology Division, School of Korean Medicine and Korean Medicine Hospital of Pusan National University, Yangsan, Korea
| | - Myeong Soo Lee
- Clinical Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Korea
- Korean Convergence Medicine, University of Science and Technology, Daejeon, Korea
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Systematic Review: Guideline-Based Approach for the Management of Asthma and Subtypes via Chinese Medicine. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2021; 2021:4319657. [PMID: 33505494 PMCID: PMC7810530 DOI: 10.1155/2021/4319657] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 12/30/2020] [Indexed: 12/17/2022]
Abstract
Background Asthma is a chronic condition that results in the inflammation and narrowing of airways, often clinically presenting as wheeze and shortness of breath. Little is known of the mechanisms of action (MOA) of herbs used to treat asthma. The aim of this study is to review existing data regarding known MOA of traditional Chinese medicine which will aid in the understanding of possible interactions between Western drugs and Chinese herbs as well as the standardization of management via a proposed guideline to improve patient safety and possible synergism in the long term. Methods We searched through 5 databases for commonly prescribed herbs and formulas for asthma and narrowed down the search to identify the underlying MOA of individual herbs that could specifically target asthma symptoms. We included studies that stated the MOA of individual herbs when used for treating symptoms of asthma, excluding them if they are described as part of a formula. Results A total of 26 herbs commonly prescribed for asthma with known mechanism of action were identified. Herbs used for asthma were found to have similar MOA as that for drugs. Based on existing GINA guidelines, a guideline is proposed which includes a total of 5 steps depending on the severity of asthma and the herbs' MOA. 16 formulas were subsequently identified for the management of asthma, which consist of 12 “stand-alone” and 4 “add-on” formulas. “Stand-alone” formulas used independently for asthma generally follow the GINA guidelines but do not proceed beyond step 3. These formulas consist mainly of beta-agonist and steroid-like effects. “Add-on” formulas added as adjunct to “stand-alone” formulas, however, mainly act on T helper cells or have steroid-like effects. Conclusion Through the understanding of MOA of herbs and their respective formulas, it will ensue greater patient safety and outcomes.
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Bu D, Xia Y, Zhang J, Cao W, Huo P, Wang Z, He Z, Ding L, Wu Y, Zhang S, Gao K, Yu H, Liu T, Ding X, Gu X, Zhao Y. FangNet: Mining herb hidden knowledge from TCM clinical effective formulas using structure network algorithm. Comput Struct Biotechnol J 2020; 19:62-71. [PMID: 33363710 PMCID: PMC7753081 DOI: 10.1016/j.csbj.2020.11.036] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 11/22/2020] [Accepted: 11/23/2020] [Indexed: 12/13/2022] Open
Abstract
The use of herbs to treat various human diseases has been recorded for thousands of years. In Asia's current medical system, numerous herbal formulas have been repeatedly verified to confirm their effectiveness in different periods, which is a great resource for drug innovation and discovery. Through the mining of these clinical effective formulas by network pharmacology and bioinformatics analysis, important biologically active ingredients derived from these natural products might be discovered. As modern medicine requires a combination of multiple drugs for the treatment of complex diseases, previously clinical formulas are also combinations of various herbs according to the main causes and accompanying symptoms. However, the herbs that play a major role in the treatment of diseases are always unclear. Therefore, how to rank each herb's relative importance and determine the core herbs, is the first step to assisting herb selection for active ingredients discovery. To solve this problem, we built the platform FangNet, which ranks all herbs on their relative topological importance using the PageRank algorithm, based on the constructed symptom-herb network from a collection of clinical empirical prescriptions. Three types of herb hidden knowledge, including herb importance rank, herb-herb co-occurrence, and associations to symptoms, were provided in an interactive visualization. Moreover, FangNet has designed role-based permission for teams to store, analyze, and jointly interpret their clinical formulas, in an easy and secure collaboration environment, aiming at creating a central hub for massive symptom-herb connections. FangNet can be accessed at http://fangnet.org or http://fangnet.herb.ac.cn.
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Affiliation(s)
- Dechao Bu
- Key Laboratory of Intelligent Information Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
| | - Yan Xia
- Beijing University of Chinese Medicine, ChaoYang District, Beijing 100029, China
| | - JiaYuan Zhang
- Beijing University of Chinese Medicine, ChaoYang District, Beijing 100029, China
| | - Wanchen Cao
- Beijing University of Chinese Medicine, ChaoYang District, Beijing 100029, China
| | - Peipei Huo
- Chinese Academy of Sciences, Luoyang Branch of Institute of Computing Technology, Luoyang, China
| | - Zhihao Wang
- Chinese Academy of Sciences, Luoyang Branch of Institute of Computing Technology, Luoyang, China
| | - Zihao He
- Beijing University of Chinese Medicine, ChaoYang District, Beijing 100029, China
| | - Linyi Ding
- Beijing University of Chinese Medicine, ChaoYang District, Beijing 100029, China
| | - Yang Wu
- Key Laboratory of Intelligent Information Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
| | - Shan Zhang
- Chinese Academy of Sciences, Luoyang Branch of Institute of Computing Technology, Luoyang, China
| | - Kai Gao
- Beijing University of Chinese Medicine, ChaoYang District, Beijing 100029, China
| | - He Yu
- Beijing University of Chinese Medicine, ChaoYang District, Beijing 100029, China
| | - Tiegang Liu
- Beijing University of Chinese Medicine, ChaoYang District, Beijing 100029, China
| | - Xia Ding
- Beijing University of Chinese Medicine, ChaoYang District, Beijing 100029, China
| | - Xiaohong Gu
- Beijing University of Chinese Medicine, ChaoYang District, Beijing 100029, China
| | - Yi Zhao
- Beijing University of Chinese Medicine, ChaoYang District, Beijing 100029, China.,Key Laboratory of Intelligent Information Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
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Wang Z, Linghu KG, Hu Y, Zuo H, Yi H, Xiong SH, Lu J, Chan G, Yu H, Huang RY. Deciphering the Pharmacological Mechanisms of the Huayu-Qiangshen-Tongbi Formula Through Integrating Network Pharmacology and In Vitro Pharmacological Investigation. Front Pharmacol 2019; 10:1065. [PMID: 31607918 PMCID: PMC6767993 DOI: 10.3389/fphar.2019.01065] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 08/21/2019] [Indexed: 12/16/2022] Open
Abstract
Rheumatoid arthritis is a chronic inflammatory autoimmune disease, causing articular and extra-articular dysfunctions among patients, and it could result in irreversible joint damages or disability if untreated. A traditional Chinese medicine formula, Huayu-Qiangshen-Tongbi (HT) formula, has been observed successful in controlling rheumatoid arthritis progression in traditional Chinese medicine clinics. In this study, we conducted a systematic analysis of the HT formula with a purpose of proposing for its potential mechanism of action using network pharmacological methods. The potential targets of the formula were collected and screened according to the topological features of their protein–protein interaction network, and we subsequently validated our prediction results through in vitro experiments. We proposed that the HT formula could interfere with the bone metabolism and the inflammatory pathways of the body. The experimental validation results indicated that HT formula could exhibit anti-inflammatory effects by regulating several signaling pathways specifically the Toll-like receptor signaling pathway, phosphoinositide-3-kinase–Akt signaling pathway, hypoxia-inducible factor 1 signaling pathway, mitogen-activated protein kinase signaling pathway and activator protein 1 signaling pathway.
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Affiliation(s)
- Zihao Wang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China
| | - Ke-Gang Linghu
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China
| | - Yuanjia Hu
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China
| | - Huali Zuo
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China
| | - Hao Yi
- Department of Rheumatology and Immunology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Shi-Hang Xiong
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China
| | - Jinjian Lu
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China
| | - Ging Chan
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China
| | - Hua Yu
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China.,HKBU Shenzhen Research Center, Shenzhen, China.,School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, Hong Kong
| | - Run-Yue Huang
- Department of Rheumatology and Immunology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.,Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou, China
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Chen G, Gao J, He H, Liu C, Liu Y, Li J, Wang J. Identification of differentially expressed non-coding RNAs and mRNAs involved in Qi stagnation and blood stasis syndrome. Exp Ther Med 2018; 17:1206-1223. [PMID: 30679994 PMCID: PMC6327641 DOI: 10.3892/etm.2018.7068] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Accepted: 09/13/2018] [Indexed: 12/13/2022] Open
Abstract
Qi stagnation and blood stasis syndrome (QSBSS) is a common Zheng in Traditional Chinese Medicine (TCM), describes the condition of unsmooth flow of Qi and blood, which manifests as distending pain in a fixed body part and emotional disorders, including irritability and depression. However, the underlying molecular mechanisms remain largely elusive. RNAs are the connection between DNA and proteins, which reflect the interaction between the genotypes and the phenotype. Of note, non-coding (nc)RNA is a type of RNA that is not translated into any protein, but has regulatory functions. Despite the growing interest in exploring the biological basis of TCM Zhengs, the specific roles of ncRNAs in QSBSS have remained largely elusive. In the present study, next-generation sequencing was performed to investigate the ncRNA profile in patients with three different types of disease, but who had QSBSS. A total of 104 long non-coding RNAs, 2 circular RNAs and 697 mRNAs were identified to be significantly differentially expressed in QSBSS patients. Further bioinformatics analysis revealed that the most significantly enriched pathways by the differentially expressed RNAs in QSBSS were the sphingolipid signaling pathway, the neurotrophin signaling pathway, 5′AMP-activated protein kinase and endocytosis. In addition, a network pharmacology analysis indicated that several of the differentially expressed RNAs were included in the targets of TCM herbs for treating QSBSS. The present study was the first to identify ncRNAs that are deregulated in QSBSS by next-generation sequencing technology. The results may offer insight into the biological basis of TCM Zheng and the optimization of ancient formulae, as well as the discovery of novel drugs, to pave the way toward advanced TCM theory and improved health care delivery.
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Affiliation(s)
- Guang Chen
- Graduate School, Beijing University of Chinese Medicine, Beijing 100029, P.R. China.,Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, P.R. China
| | - Jialiang Gao
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, P.R. China
| | - Haoqiang He
- Graduate School, Beijing University of Chinese Medicine, Beijing 100029, P.R. China.,Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, P.R. China
| | - Chao Liu
- Graduate School, Beijing University of Chinese Medicine, Beijing 100029, P.R. China.,Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, P.R. China
| | - Yongmei Liu
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, P.R. China
| | - Jun Li
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, P.R. China
| | - Jie Wang
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, P.R. China
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Wang C, Sun J, Li H, Yang X, Liu H, Chen J. In vivo anti-inflammatory activities of the essential oil from Radix Angelicae dahuricae. J Nat Med 2016; 70:563-70. [PMID: 26906120 DOI: 10.1007/s11418-016-0978-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2015] [Accepted: 02/11/2016] [Indexed: 02/01/2023]
Abstract
Although Radix Angelicae dahuricae (Angelica) has been traditionally used in patients with rheumatism arthralgia, its bioactive ingredients remain to be determined. In this study, the essential oil extract of Radix Angelicae dahuricae (EOAD) was assessed for its anti-inflammatory activities against xylene-induced acute ear swelling and carrageenan-induced acute paw edema in mice as well as its anti-inflammatory and immunomodulating properties in Freund's complete adjuvant (FCA)-induced arthritis in rats. We found that EOAD at 100 mg/kg significantly alleviated xylene-induced ear swelling and carrageenan-induced paw edema in mice. Moreover, in the FCA-induced rat arthritis model, EOAD significantly improved hind paw swelling, lowered the adjuvant arthritis score, mitigated synovial hyperplasia, inflammatory cell infiltration, and cartilage destruction in the ankle joint, and reduced the serum levels of inflammatory mediators such as nitric oxide, tumor necrosis factor-α, and prostaglandin E2 as well as serum nitric oxide synthase activity. These findings support the fact that the essential oil extract of Angelica contains important active constituents responsible for its anti-inflammatory activities and therefore help to understand the phytotherapeutic effects of Angelica in the treatment of aseptic inflammation.
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Affiliation(s)
- Chunmei Wang
- Department of Pharmacology, College of Pharmacy, Beihua University, No. 3999 Binjiang East Road, Fengman District, Jilin, Jilin, People's Republic of China
| | - Jingbo Sun
- Department of Pharmacology, College of Pharmacy, Beihua University, No. 3999 Binjiang East Road, Fengman District, Jilin, Jilin, People's Republic of China
| | - He Li
- Department of Pharmacology, College of Pharmacy, Beihua University, No. 3999 Binjiang East Road, Fengman District, Jilin, Jilin, People's Republic of China
| | - Xue Yang
- Department of Neurology, People's Hospital of Jilin City, Jilin, Jilin, People's Republic of China
| | - Huimin Liu
- Department of Neurology, Affiliated Hospital, Beihua University, No. 12 Jiefang Middle Road, Chuanying District, Jilin, Jilin, People's Republic of China
| | - Jianguang Chen
- Department of Pharmacology, College of Pharmacy, Beihua University, No. 3999 Binjiang East Road, Fengman District, Jilin, Jilin, People's Republic of China.
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